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Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Hyderabad, Telangana, India; Gurugram, Haryana, India; Pune, Maharashtra, India; Bengaluru, Karnataka, India
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience.
 </li>
 <li>
 Experience in developing and troubleshooting data processing algorithms and software using Python, Java, Scala, Spark and hadoop frameworks.
 </li>
 <li>
 Experience in data processing frameworks and Google Cloud Platform with investigative and transactional data stores like BigQuery, CloudSQL, AlloyDB, etc.
 </li>
 <li>
 Experience in Google Cloud Platform.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience with encryption techniques like symmetric, asymmetric, Hardware Security Module (HSMs) and envelop with ability to implement secure key storage using Key Management System.
 </li>
 <li>
 Experience in working with data warehouses, including technical architectures, infrastructure components, ETL/ELT and reporting tools, environments, and data structures.
 </li>
 <li>
 Experience in building applications with technologies like NoSQL, MongoDB, SparkML, and TensorFlow.
 </li>
 <li>
 Experience with Infrastructure as Code (IaC) and CI/CD tools like Terraform, Ansible, Jenkins, etc.
 </li>
 <li>
 Experience in Big Data, information retrieval, data mining, or Machine Learning.
 </li>
 <li>
 Experience with architecting, developing software, or internet production-grade Big Data solutions in virtualized environments.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google&rsquo;s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
 
 
 In this role, you will guide customers on how to store, process, analyze, and explore/visualize data on the Google Cloud Platform (GCP). You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines and troubleshoot platform/product tests. You will have an understanding of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work with Product Management and Product Engineering teams to build and drive excellence in products.
 
 
 Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Interact with stakeholders to translate customer requirements into recommendations for solution architectures and advisory services.
 </li>
 <li>
 Engage with technical leads, and partners to lead migration and modernization to Google Cloud Platform (GCP).
 </li>
 <li>
 Design, migrate/build, and operationalize data storage and processing infrastructure using Cloud native products.
 </li>
 <li>
 Develop and implement data quality and governance procedures to ensure the reliability of data.
 </li>
 <li>
 Gather project requirements and organize them into goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Data Engineer

Amazon

<div>
 
 Description
 
 
 
 Fulfillment by Amazon (FBA) enables sellers to scale their businesses globally by leveraging Amazon&rsquo;s world-class fulfillment network. Sellers using FBA benefit from fast, reliable shipping, Prime delivery eligibility, and hassle-free returns&mdash;allowing them to focus on growth while we handle operations. The WW FBA Central Analytics team builds and operates scalable, enterprise-grade data infrastructure, tools, and analytics solutions that power WW FBA business. We partner across global product, program, and operations teams to unify diverse datasets, deliver self-service analytics, and develop next-generation capabilities using LLMs to unlock insights.
 
 
 Our charter includes building the foundational pipelines, governance frameworks, and intelligent interfaces that enable internal customers to query, analyze, and act on complex datasets with natural language. This is an opportunity to work on one of the largest, complex, and critical analytics ecosystems, designing solutions that combine massive scale, high reliability, and advanced AI.
 
 
 We are seeking a Data Engineer I who will contribute to a GenAI-powered insights assistant initiative by developing and maintaining performant ETL pipelines and semantic layers for WW FBA metrics. Your work ensures the assistant&rsquo;s text-to-SQL capabilities deliver accurate, up-to-date structured data insights supporting natural-language query responses.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Develop and maintain ETL pipelines in Spark to transform and load FBA metrics into the Data Lakehouse.
 </li>
 <li>
 Optimize SQL queries for fast, cost-efficient access by AI systems.
 </li>
 <li>
 Support dbt semantic models and automate metadata enrichment with Glue.
 </li>
 <li>
 Write automated tests to ensure data quality and freshness.
 </li>
 <li>
 Build pipelines that add business context metadata to help AI generate accurate SQL queries.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 1+ years of data engineering experience
 </li>
 <li>
 Experience with data modeling, warehousing and building ETL pipelines
 </li>
 <li>
 Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
 </li>
 <li>
 Experience with one or more scripting language (e.g., Python, KornShell)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
 </li>
 <li>
 Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
 </li>
 <li>
 Proficiency in dbt, Airflow/MWAA, AWS Glue, Kinesis.
 </li>
 <li>
 Experience building semantic layers or BI models.
 </li>
 <li>
 Familiarity with prompt-driven SQL generation and AI-assisted query validation.
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3082667
</div>

Data Engineer I

Capgemini

<div>
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 
 Your Role
 
 
 
 <ul>
 <li>
 Gen AI ,Computer vision, Cloud exp , Azure
 </li>
 <li>
 Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical
 </li>
 <li>
 Need to have a natural desire to go beneath the surface of a problem. Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown.
 </li>
 <li>
 Good knowledge &amp; experience in Artificial Neural Network ( ANN ), AI conversational Chatbot &amp; Needs to be able to write the required Algorithm and coding programming. Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch.
 
 
 </li>
 </ul>
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Your Profile
 
 
 
 <ul>
 <li>
 Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing.
 </li>
 <li>
 Data scientists should have at least some of the following capabilities : Cleaning data, formatting data, Having the ability to query databases &amp; perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. Being able to develop or program databases.
 </li>
 <li>
 Having a good understanding of design &amp; architecture principles.
 
 
 </li>
 </ul>
 
 What Will You Love Working At Capgemini
 
 
 
 <ul>
 <li>
 Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal sports events, yoga challenges, or marathons.
 </li>
 <li>
 At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
 </li>
 <li>
 Employees rate the work culture highly (4.1/5), appreciating the collaborative environment and supportive teams
 </li>
 <li>
 Hybrid work models and flexible timings are common, with many roles offering remote or partially remote options
 
 
 </li>
 </ul>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

Data Scientist

Eli Lilly and Company

<div>
 At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
 
 
 For more than 140 years, Eli Lilly and Company has been dedicated to the discovery and development of medicines to address the health care needs of people around the world. Driven by the broader, consumer-focused digital revolution and in anticipation of this same revolution in health care, Lilly is now further expanding the definition of product to include the design, build, integration and orchestration of digitally enabled health care interactions and has established a Connected Medicine Business Unit to accomplish these goals in the multiple therapeutic areas.
 
 
 More specifically, we are interested in using digital technologies to improve the health outcomes of those using our products and are formalizing our ecosystem of capabilities to orchestrate personalized engagement to Patients, Coupling our medicines, devices, and digital solutions with consumer health solutions and health systems, we believe we can partner with providers and payers to enable significant improvements in health outcomes for our customers.
 
 
 The LCCI Connected Medicine is team comprising of creative problem solvers who support achievement of the brand&rsquo;s goals, while always striving for process improvement and innovation.
 
 
 The role will be responsible for setting up the data warehouses necessary to handle large volumes of data, create meaningful analyses, and deliver recommendations to leadership.
 
 
 
 Core Responsibilities
 
 
 
 <ul>
 <li>
 Create and maintain optimal data pipeline architecture ETL/ ELT into structured data
 </li>
 <li>
 Assemble large, complex data sets that meet business requirements and create and maintain multi-dimensional modelling like Star Schema and Snowflake Schema, normalization, de-normalization, joining of datasets.
 </li>
 <li>
 Expert level experience in creating a scalable data warehouse including Fact tables, Dimensional tables and ingest datasets into cloud based tools.
 </li>
 <li>
 Identify, design, and implement internal process improvements including automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability.
 </li>
 <li>
 Collaborate with stakeholders to ensure seamless integration of data with internal data marts, enhancing advanced reporting
 </li>
 <li>
 Setup and maintain data ingestion, streaming, scheduling, and job monitoring automation using AWS services. Setup Lambda, code pipeline (CI/CD), Glue, S3, Redshift, Power BI needs to be maintained for uninterrupted automation.
 </li>
 <li>
 Build analytics tools that utilize the data pipeline to provide actionable insight into customer acquisition, operational efficiency, and other key business performance metrics.
 </li>
 <li>
 Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
 </li>
 <li>
 Utilize GitHub for version control, code collaboration, and repository management. Implement best practices for code reviews, branching strategies, and continuous integration.
 </li>
 <li>
 Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
 </li>
 <li>
 Ensure data privacy and compliance with relevant regulations (e.g., GDPR) when handling customer data.
 </li>
 <li>
 Maintain data quality and consistency within the application, addressing data-related issues as they arise.
 
 
 
 </li>
 </ul>
 
 Required
 
 
 
 <ul>
 <li>
 7-10 years of relevant experience
 </li>
 <li>
 Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and Cloud Data warehouse like AWS Redshift
 </li>
 <li>
 Experience in creating scalable, efficient schema designs to support diverse business needs.
 </li>
 <li>
 Experience with database normalization, schema evolution, and maintaining data integrity
 </li>
 <li>
 Proactively share best practices, contributing to team knowledge and improving schema design transitions.
 </li>
 <li>
 Develop data models, create dimensions and facts, and establish views and procedures to enable automation programmability.
 </li>
 <li>
 Collaborate effectively with cross-functional teams to gather requirements, incorporate feedback, and align analytical work with business objectives
 </li>
 <li>
 Prior Data Modelling, OLAP cube modelling
 </li>
 <li>
 Data compression into PARQUET to improve processing and finetuning SQL programming skills.
 </li>
 <li>
 Experience building and optimizing &ldquo;big data&rdquo; data pipelines, architectures and data sets.
 </li>
 <li>
 Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
 </li>
 <li>
 Experience with manipulating, processing and extracting value from large disconnected unrelated datasets
 </li>
 <li>
 Strong analytic skills related to working with structured and unstructured datasets.
 </li>
 <li>
 Working knowledge of message queuing, stream processing, and highly scalable &ldquo;big data&rdquo; stores.
 </li>
 <li>
 Experience supporting and working with cross-functional teams and Global IT.
 </li>
 <li>
 Familiarity of working in an agile based working models.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications/Expertise
 
 
 
 <ul>
 <li>
 Experience with relational SQL and NoSQL databases, especially AWS Redshift.
 </li>
 <li>
 Experience with AWS cloud services Preferable: S3, EC2, Lambda, Glue, EMR, Code pipeline highly preferred. Experience with similar services on another platform would also be considered.
 
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree on Technology and Computer Science background
 
 
 
 </li>
 </ul>
 Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
 
 
 Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
 
 
 #WeAreLilly
</div>

Consultant Data Engineering - Connected Medicine

Indium

<div>
 
 
 We're Hiring: Data Scientist
 
 
 
 
 
 
 
 Exp
 
 -3-6years
 
 
 
 Location:
 
 Bangalore / Hyderabad
 
 
 
 Work Type:
 
 Full-Time | Hybrid
 
 
 
 Skills:
 
 NLP or Computer Vision - Text &amp; Image Automation, AI/ML Algorithms, Statistics, Qualitative analysis, project management
 
 
 
 Apply: Click Here
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 
 
 We are seeking a highly motivated and detail-oriented
 
 Machine Learning Engineer
 
 with expertise in
 
 ML algorithms, statistics, NLP or computer vision
 
 , and a strong inclination toward
 
 project ownership and delivery
 
 . The ideal candidate is not only technically proficient but also highly organized, hardworking, and capable of driving projects independently or as part of a collaborative team.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 machine learning models
 
 for real-world applications.
 </li>
 <li>
 Apply
 
 statistical methods
 
 and
 
 quantitative analysis
 
 to extract insights and optimize models.
 </li>
 <li>
 Build solutions in
 
 NLP or computer vision
 
 , particularly in
 
 text and image automation
 
 workflows.
 </li>
 <li>
 Work on end-to-end
 
 AI/ML project lifecycle
 
 , from problem definition to deployment and monitoring.
 </li>
 <li>
 Collaborate cross-functionally with data scientists, engineers, and stakeholders to meet project goals.
 </li>
 <li>
 Manage project timelines, track progress, and ensure timely delivery of high-quality outcomes.
 </li>
 <li>
 Demonstrate a strong work ethic, ownership mindset, and accountability throughout project execution.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 <ul>
 <li>
 Solid understanding of
 
 machine learning algorithms
 
 and statistical techniques.
 </li>
 <li>
 Experience with
 
 NLP (Natural Language Processing)
 
 or
 
 Computer Vision
 
 .
 </li>
 <li>
 Proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, OpenCV, spaCy).
 </li>
 <li>
 Familiarity with
 
 data preprocessing
 
 , model evaluation, and performance tuning.
 </li>
 <li>
 Strong analytical and problem-solving skills with a data-driven mindset.
 </li>
 <li>
 Excellent project management skills &ndash; ability to multitask, prioritize, and deliver on deadlines.
 </li>
 <li>
 Self-driven and hardworking, with a proactive approach to learning and development.
 </li>
 </ul>
 
 
 
 
 
 🌟 What&rsquo;s in It for You?
 
 
 
 
 
 
 
 A Happy Workplace
 
 We go beyond the ordinary to create a fun, inclusive, and collaborative work environment.
 
 
 
 Health Comes First
 
 Medical insurance for you and your family, 1:1 mental wellness sessions, and wellness initiatives.
 
 
 
 Skill Up to Scale Up
 
 Access to
 
 Indium Academy
 
 , our internal learning platform, and continuous upskilling support.
 
 
 
 Work-Life Balance
 
 Flexible hybrid work model + plenty of destressing and employee engagement activities.
 
 
 
 
 
 
 About Indium
 
 
 -
 
 Click Here
 
 
 
 
 
 Indium Tech is a next-gen digital engineering company driving innovation across Application Engineering, Generative AI, Data &amp; AI, Cloud &amp; Product Engineering, Intelligent Automation, Low-Code Development, Gaming, and Quality Engineering.
 
 
 
 
 
 With over 25 years in the industry and a vibrant team of 5,000+ professionals across India, Indium is trusted by global enterprises to deliver cutting-edge digital solutions. Our expertise has earned us recognition from Forbes as one of the Top AI Products and Clutch a Top Data Analytics Company, and ISG as Strong Contender in Data Science Services.
 
 
 
 
 
 We're proud to be Great Place to Work certified and ranked on the Inc. 5000 list of America's fastest-growing companies.
 
 
 
 
 
 #MachineLearning#ArtificialIntelligence Let&rsquo;s build something impactful together.
 
 
 #Hiring #MachineLearning #AI #DataScience #NLP #ComputerVision #MLJobs #TechJobs #ArtificialIntelligence #Python #DeepLearning #Statistics #Automation #JoinOurTeam #CareerOpportunity#NLP#MLAlgorithms
 
</div>

<div>
 Position Description
 
 
 At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com.
 
 
 This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.
 
 
 Your future duties and responsibilities
 
 
 Job Title: Data Scientist
 
 
 Position: Associate Consultant
 
 
 Experience : 4 to 7 Years
 
 
 Main location: Bangalore/Chennai/Hyderabad
 
 
 Position ID: J0825-0344
 
 
 Employment Type: Full Time
 
 
 We are seeking a talented and experienced Data Scientist / MLOps Engineer to join our team. In this role, you will be responsible for developing and operationalizing machine learning models, with a focus on NLP sentiment analysis, scoring, app recommendations, and sales forecasting. You will work closely with cross-functional teams to implement these solutions using Google Cloud services, Kubernetes, and containerization technologies.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and implement machine learning models for NLP sentiment analysis and scoring
 </li>
 <li>
 Create and optimize app recommendation systems using advanced ML techniques
 </li>
 <li>
 Build and maintain sales forecasting models to drive business insights
 </li>
 <li>
 Design and implement MLOps pipelines for model training, deployment, and monitoring
 </li>
 <li>
 Containerize ML applications and deploy them on Kubernetes clusters
 </li>
 <li>
 Collaborate with data engineers to design and implement data ingestion and wrangling pipelines using Google Cloud services
 </li>
 <li>
 Utilize BigQuery for large-scale data analysis and feature engineering
 </li>
 <li>
 Continuously improve model performance and operational efficiency
 
 
 </li>
 </ul>
 
 Required Qualifications To Be Successful In This Role
 
 
 
 <ul>
 <li>
 Master's degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 3+ years of experience in machine learning and data science roles
 </li>
 <li>
 Strong proficiency in Python and data science libraries (e.g., NumPy, Pandas, Scikit-learn)
 </li>
 <li>
 Expertise in NLP techniques and frameworks (e.g., NLTK, spaCy, Transformers)
 </li>
 <li>
 Experience with recommendation systems and time series forecasting
 </li>
 <li>
 Solid understanding of MLOps principles and practices
 </li>
 <li>
 Proficiency in Google Cloud Platform services, especially: AI/ML offerings (e.g., Vertex AI, AutoML) Data ingestion services (e.g., Cloud Dataflow, Cloud Pub/Sub) Data processing services (e.g., Dataprep, Cloud Dataproc) BigQuery for large-scale data analysis
 </li>
 <li>
 Experience with containerization (Docker) and orchestration (Kubernetes)
 </li>
 <li>
 Familiarity with CI/CD pipelines and version control systems (e.g., Git)
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience with TensorFlow and/or PyTorch
 </li>
 <li>
 Knowledge of other cloud platforms (e.g., Azure, AWS) is a plus
 </li>
 <li>
 Familiarity with big data technologies (e.g., Spark, Hadoop)
 </li>
 <li>
 Experience with ML model serving frameworks (e.g., TensorFlow Serving, KFServing)
 </li>
 <li>
 Understanding of data privacy and security best practices
 </li>
 <li>
 Experience with data visualization tools (e.g., Data Studio, Looker)
 
 
 </li>
 </ul>
 Key Skills:
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Natural Language Processing
 </li>
 <li>
 Recommendation Systems
 </li>
 <li>
 Time Series Forecasting
 </li>
 <li>
 Google Cloud Platform BigQuery Cloud Dataflow Cloud Pub/Sub Dataprep Cloud Dataproc Vertex AI
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 Docker
 </li>
 <li>
 Python
 </li>
 <li>
 MLOps
 </li>
 <li>
 Data Analysis and Visualization
 </li>
 <li>
 Data Ingestion and Wrangling
 
 
 </li>
 </ul>
 
 Together, as owners, let&rsquo;s turn meaningful insights into action.
 
 
 
 Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;
 
 
 You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.
 
 
 Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
 
 
 You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
 Come join our team&mdash;one of the largest IT and business consulting services firms in the world.
 
 
</div>

KPMG India

<div>
 
 
 Equal employment opportunity information
 
 
 
 
 
 
 KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
 
 
 
 Lighthouse Overview
 
 
 Lighthouse, KPMG&rsquo;s Big Data, AI &amp; Analytics practice has deep industry specialization and focuses on solution delivery for Data Engineering, Data Science, Data Visualization, and Process Analytics. We are looking for entrepreneurial leaders to drive growth and build strategic relationships.
 
 <ul>
 <li>
 
 Target Geographies:
 
 Domestic clients primarily, along with business in ME and APAC corridors
 </li>
 </ul>
 
 
 
 
 &gt;&gt; Role &amp; Responsibilities
 
 
 
 
 Technical:
 
 
 <ul>
 <li>
 Minimum 4 years of experience developing scalable and distributed systems in core Java
 </li>
 <li>
 Strong analytical and problem-solving capability
 </li>
 <li>
 Excellent verbal and written communications skills
 </li>
 <li>
 Client facing skills: Solid experience working with clients directly, to be able to build trusted relationships with stakeholders
 </li>
 <li>
 Ability to collaborate effectively across global teams
 </li>
 <li>
 Strong understanding of data structures, algorithm, object-oriented design and design patterns
 </li>
 <li>
 Strong Understanding in SQL to retrieve/transform/analyze datasets
 </li>
 <li>
 Solid understanding and experience with agile software development lifecycle.
 </li>
 <li>
 Experience in the use of multi-dimensional data, data curation processes, and the measurement/improvement of data quality.
 </li>
 <li>
 General knowledge of business processes, data flows and quantitative models that generate or consume data
 </li>
 <li>
 Independent thinker, willing to engage, challenge and learn new technologies
 </li>
 <li>
 Good Understanding in Big data frameworks such as Spark is a plus.
 </li>
 </ul>
 
 
 
 
 &gt;&gt; Qualification
 
 
 <ul>
 <li>
 Engineering Grad / Postgraduate
 </li>
 </ul>
 
 
 
 
 &gt;&gt; SELECTION PROCESS
 
 
 <ul>
 <li>
 Candidates should expect 2 - 3 rounds of personal or telephonic interviews to assess fitment
 </li>
 </ul>
 
 
 
 
 Interested candidates can mail their resumes at : Kartikkhanna2@kpmg.com
 
</div>

Java Software Engineer

Explore 338+ Data engineer in Mangaluru this September. Find roles across top companies and apply now to boost your career.

338 data engineer jobs IN Mangaluru

Data Engineer

Data Engineer I

Data Scientist

Consultant Data Engineering - Connected Medicine

Data Scientist

Data Scientist

Java Software Engineer